Your English writing platform
Discover LudwigExact(6)
The coexpression between two genes can be calculated by using a traditional Pearson's correlation coefficient.
The synergy between two genes can then be directly evaluated using this measure.
A genetic interaction between two genes can be studied by different phenotypes, of which cell growth is most frequently used.
Thus, the linear dependency between two genes can be studied by using the correlation coefficient between two random variables.
Coexpression between two genes can be quantified by a measure evaluating how similar their expression patterns are across the biological samples.
The distance between two genes can then be computed using a metric on the vector space, such as the cosine of the angle between them [ 49].
Similar(52)
The ARF1 and ARF2 proteins are functionally homologous, and the phenotypic differences between mutations in the two genes can be accounted for by the level of expression; ARF1 produces approximately 90% of total ARF.
In a BN, causal interactions between more than three genes can be estimated.
Since PCC rank between two genes of interest can be different, we introduced another coexpression measure, mutual rank (MR), by taking a geometric average of the PCC rank from gene A to gene B and that of gene B to gene A. The reason why we used 'geometric average' rather than arithmetic average is that we think that the difference of PCC ranks will change as logarithmic manner.
Finally, these interactions, represented by an edge between two gene nodes, can be used to reconstruct predictive networks at any confidence level.
Alternatively, the distance between two gene sets can be calculated directly as a mean correlation level of all possible gene pairs, each of which represents one possible gene-to-gene match between corresponding gene sets.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com